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Found 8 publication(s) - of type

  1. 1

Carrillo-Rojas, G.; Silva, B.; Cordova, M.; Celleri, R. & Bendix, J. (2016): Dynamic Mapping of Evapotranspiration Using an Energy Balance-Based Model over an Andean Páramo Catchment of Southern Ecuador. Remote Sensing 8(2), 160 (1-24) DOI:
Thies, B.; Groos, A.; Schulz, M.; Li, C.; Chang, S. & Bendix, J. (2015): Frequency of low clouds in Taiwan retrieved from MODIS data and its relation to cloud forest occurrence. Remote Sensing 7, 12986-13004 DOI:
Lehnert, L.; Meyer, H.; Wang, Y.; Miehe, G.; Thies, B.; Reudenbach, C. & Bendix, J. (2015): Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale, multi-sensor and multi-method approach. Remote Sensing of Environment 164, 197-207 DOI:
Obregon, A.; Gehrig-Downie, C.; Gradstein, S.R. & Bendix, J. (2014): The potential distribution of tropical lowland cloud forest as revealed by a novel MODIS-based fog/low stratus night-time detection scheme.. Remote Sensing of Environment 155, 312–324 DOI:
Kühnlein, M.; Appelhans, T.; Thies, B.; Kokhanovsky, A. & Nauss, T. (2013): An evaluation of a semi-analytical cloud property retrieval using MSG SEVIRI, MODIS and CloudSat. Atmospheric Research 122, 111–135 DOI:
Bendix, J.; Thies, B.; Nauss, T. & Cermak, J. (2006): A feasibility study of daytime fog and low stratus detection with TERRA/AQUA-MODIS over land. Meteorological Applications 13(2), 111-125 DOI:
Bendix, J.; Thies, B.; Cermak, J. & Nauss, T. (2005): Ground fog detection scheme from space based on MODIS daytime data - a feasibilty study. Weather and Forecasting 20, 989-1005 DOI:
Schweitzer, C.; Rücker, G.; Conrad, C.; Strunz, G. & Bendix, J. (2005): Knowledge-based land use classification combining expert knowledge, GIS, multi-temporal Landsat 7 ETM+ and MODIS time series data in Khorezem, Uzbekistan. Göttinger Geographische Abhandlungen 113, 116-123.
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